I am dealing with a huge matrix in R (20 columns, 54000 rows) and have lots of missing values within the dataset which are currently displayed as the value "-999.00" I am trying to create a new matrix (or change the existing one) to display these values as "NA" so that I can then perform the necessary analysis on the columns within the matrix.
The matrix name is temp and the column names are t1 to t20 inclusive.
I have tried the following command:
temp$t1[temp$t1 == -999.00] <- NA
and it returns a segmentation fault, can someone tell me what I am doing wrong?
The crash for this inappropriate usage has already been fixed for R-1.7.1, so you are using an outdated version, I guess.
1. If temp is a matrix, you have to use matrix indexing, not data.frame or list indexing, see the manuals.
Now, we have got the (still wrong) line temp[temp[ ,"t1"] == -999.00, "t1"] <- NA
2. Use "is.na(x) <- TRUE" instead of "x <- NA": is.na(temp[temp[ ,"t1"] == -999.00, "t1"]) <- TRUE
Or change all values "-999" to "NA" in the whole matrix by is.na(temp[temp == -999.00]) <- TRUE
Uwe Ligges
Thanks Laura
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